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In this work, we develop a new approach to generative density estimation for exchangeable, non-i.i.d. data. The proposed framework, FlowScan, combines invertible flow transformations with a sorted scan to flexibly model the data while preserving exchangeability. Unlike most existing methods, FlowScan exploits the intradependencies within sets to learn both global and local structure. FlowScan represents the first approach that is able to apply sequential methods to exchangeable density estimation without resorting to averaging over all possible permutations. We achieve new state-of-the-art performance on point cloud and image set modeling.

Altagracia is a residential development in Zapopan Jalisco. Here noise due to stationary and mobile sources is an important environmental stressor, since the settlement is close to industry complexes and the major periphery road of the metropolis. As a way of getting knowledge about what noise sources contribute the most to the noise impact within the development, a noise environmental assessment was performed. 14 samples were taken to evaluate the contribution of mobile and stationary sources. Sampling sites were established as a result of a pilot experiment at which the highest noise levels were recorded. Data processing and analysis were performed taking into account national standards for stationary sources (NOM 081-ECOL-94), and mean values for the mobile sources, since there is not specific regulation for them. Results of the study, highlights mobile sources as the major contributor of noise impact within the residential area.

Road traffic noise accounts for the majority of perceived urban environmental noise and has important health consequences. The rolling noise of vehicle tires is a major contributor to perceived road noise. The tread pattern of light vehicle tires is already designed to minimize the amplitude of the noise emitted, but this is not the case for heavy vehicles. The European LEON-T project aims to minimize the nuisance of heavy vehicle tires, especially noise. Prior to a study of the effects of tire noise on sleep, an experiment was conducted to determine the timbre parameters of such noise. The data set used was obtained by a series of recordings on a standardized track using tires of various sizes. These stimuli were presented to headphones in a free sorting task. The presentation will show the results of this experiment, including the correlations between acoustic parameters and perceptual space structure determined from the groups formed by the participants.

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